Research on the Framework of Classroom Interaction Behavior Analysis Based on Artificial Intelligence

Abstract

Classroom teaching is a system of social activities. As the subject of the activities, teachers, and students are engaged in various interactions, which are called interactions in classroom teaching. Classroom interaction is one of the important factors affecting the teaching effect. It shows in every part of the classroom teaching process and forms a good interaction between each other around the realization of education and teaching objectives. Under the background of educational informatization, using information technology to observe and analyze classroom teaching behavior can promote the development of teaching activities, improve the efficiency of classroom evaluation and teaching quality. This paper starts with the interaction subject and the interactive media to carry out the analysis framework of classroom interaction behavior. In classroom teaching, there are two main bodies directly involved, namely teachers and students. The medium of interaction between subjects is audio or action. Artificial intelligence technology is combined with classroom interaction analysis to classify classroom interaction types by using audio and video information in classroom teaching. The basic interactive classification of classroom teaching can be obtained by combining the two types of subjects with different audio or action.